Author: Tara Calishain

Date Search News Web Search Wikipedia

AI Is Better With Human Attention As Search Context

Human attention as context for Internet search is immensely powerful. Having an understanding of WHEN a topic was of particular interest allows you to create date-bounded searches that provide more information-rich results and less junk. Which is why it drives me absolutely bonkers that we have a gold mine of human attention records in the […]

Information Trapping Search

“Barbie’s Dream Google Alerts”

I’ve spent today, around my visit to Granny, making “Barbie’s Dream Alerts” with Google Apps Script and a Google Sheet. 😂 (No, I’m not going to call them that. I’m going to call them Calishat Snaps.) There’s some functionality I’ve always missed in Google Alerts that I decided I wanted in my version, so my […]

Information Trapping Wikipedia

Gossip Machine As An Information Trap

Hot diggity! I made my first Web monitoring tool! If you’ve been reading my stuff for a while you’ve heard me talk about Gossip Machine. At its core, Gossip Machine analyzes a Wikipedia article’s page views over a given time period and identifies days with unusually high page views. The idea is that audience attention […]

Search

Concept Lensing

Being uneducated (I rock a GED) makes me constantly aware that my knowledge is extremely limited. This has shaped much of my search thinking. When I approach a certain kind of search problem I assume there is some kind of higher education classification system I’m completely unfamiliar with and some kind of professional vocabulary I […]

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